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Improving EVAR Patient Compliance Utilizing VQI for Long Term Follow Up

Improving EVAR Patient Compliance Utilizing VQI for Long Term Follow Up

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Improving EVAR Patient Compliance Utilizing VQI for Long Term Follow Up

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  1. Improving EVAR Patient Compliance Utilizing VQI for Long Term Follow Up Ali Arak, BS Fern Schwartz, BS UPP Vascular Surgery University of Pittsburgh Medical Center (UPMC)

  2. Objectives • Create a streamlined process that incorporates VQI data and tool sets to improve EVAR follow up compliance • Improve quality of patient care for EVAR patients

  3. Problem Statement/ Background • LTFU is defined by VQI as patient contact 1 year after the procedure - Captured between 9-21 months • Prior to VQI implementation, our center achieved a low EVAR LTFU rate (74%) • A low EVAR LTFU rate may affect patient care making patients susceptible to: - Device failure, endoleaks, remote aneurysm formation, or aneurysm sac expansion including remote rupture

  4. Improvement Strategy • Create an “assembly line” model to efficiently manage data and: • - Simplify follow up effort • - Increase EVAR LTFU compliance • - Define distinct team member goals and responsibilities

  5. Process 12 months later • Physicians capture EVAR procedures in VQI • Patients without follow ups completed or scheduled after 12 months are contacted by the VQI Team • Lead data coordinator completes and submits EVAR entries in VQI • Abstractor recalls LTFU in VQI and completes LTFU for patients who have complied with LTFU

  6. Each month a follow up abstractor utilizes VQI LTFU tool to receive list of all follow ups required Follow up abstractor completes the VQI follow up for patients missing LTFU Electronic charts are reviewed and follow up submitted in VQI Assembly Line Model Patients are seen in HBC. Imaging and office visit completed simultaneously Patients without LTFU are entered into a local database, and are assigned to the VQI Team Social security death index and obituaries investigated if patient cannot be reached Follow up abstractor contact patients and reschedule appointments. Remind all patients of importance of imaging and LTFU. Postcards sent to patient if no phone contact is established

  7. Results

  8. Results Continued

  9. Challenges/ Lessons Learned • Migration of patients between healthcare systems within the city • Insurance market restrictions making follow-up costly for patients • Relocation of patients to other states or countries • Comorbidities of patients • Transportation and monetary conflicts

  10. Results Continued

  11. DMAIC Process Define the problem, your goal, and or scope of the project We defined our project: Improving EVAR Patient Compliance Utilizing VQI for Long Term Follow Up Measure – Get baseline, compare to target Our LTFU baseline measure was 74%, but our goal was 100%. Analyze – Find the root cause (process map, fishbone) We went through our processes to identify our problems. Improve – Identify solutions and implement We went through our processes to identify our problems. Our solution was the “Assembly Line Model”, which we implemented. Control – Sustain/continue monitoring Now we’re at the sustaining stage and working hard to maintain our goal.

  12. Conclusions/ Success Factors • Design of Clinic • - Imaging performed during office visit before seeing a physician (19% of surveyed clinics have capability) • Proper allocation of personnel and resources • Aggressive patient education and re-education • Department culture instilled into patients: • - “Once you become an EVAR patient, you are a vascular patient for life”

  13. Conclusions/ Success Factors • Assembly line model has: • - Produced 100% LTFU rate in 2015 (First year implemented) • - Increased EVAR patient imaging rate from 96% in 2015 to 98% in 2016 • Increased work flow efficiency by quality team

  14. Questions